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Dublin, Ireland M&A, Private Equity
Manager
5 years experience
  • Financial & Operational Modeling
  • Financial Modeling
  • M&A
  • Corporate Finance
  • +46
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New York, NY, USA Strategy, M&A
Senior
20 years experience
  • Financial & Operational Modeling
  • Financial Modeling
  • Business Strategy
  • M&A
  • +4
Hire Chris
Dubai - United Arab Emirates Investment Management
Senior
15 years experience
  • Financial & Operational Modeling
  • Financial Modeling
  • Business Strategy
  • M&A
  • +6
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Stanford, California, United States Strategy, Venture Capital
Manager
4 years experience
  • Financial & Operational Modeling
  • Business Strategy
  • Business Development
  • Project Management
  • +1
Hire Eyal
New York, NY, USA Strategy, M&A
Associate
8 years experience
  • Financial & Operational Modeling
  • Financial Modeling
  • Business Strategy
  • M&A
  • +8
Hire Daniel
Dublin, Ireland M&A, Private Equity
Manager
5 years experience
  • Financial & Operational Modeling
  • Financial Modeling
  • M&A
  • Corporate Finance
  • +46
Hire Inga
Amsterdam, Netherlands Investment Management, FinTech
Associate
3 years experience
  • Financial & Operational Modeling
  • Financial Modeling
  • Financial Analysis
  • Due Diligence
  • +1
Hire Vishruth
Amsterdam, Netherlands Strategy, M&A
Manager
10 years experience
  • Financial & Operational Modeling
  • Financial Modeling
  • Business Strategy
  • M&A
  • +9
Hire Given

What do Financial & Operational Modeling consultants do?

Our Operations and Financial Modeling consultants help our clients explore different possibilities of their business and financial operations in order to help them better understand their operations, as well as provide more accurate projections about future endeavors.

The world's largest network of Financial & Operational Modeling consultants

Fintalent is the invite-only community for top-tier independent M&A consultants and Strategy professionals. Our Fintalents serve clients in North America, LATAM, Europe, MENA, and APAC.

Hire global freelance M&A consultants and Strategy experts with extensive experience in over 2,900 industries. Our platform allows you to build your team of independent M&A advisors and Strategy specialists in 48 hours. Welcome to the future of Mergers & Acquisitions!

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Why should you hire Financial & Operational Modeling experts with Fintalent?

Trusted Network

Every Fintalent has been vetted manually.

Ready in 48h​​​

Hire efficiently. Your M&A team is ready in 2 days or less.​​​​

Specialized Skills​

Fintalents are best-in-class - and specialized in 2,900+ industries.​

Code of Ethics​​

We guarantee highest integrity and ethical principles.​​​

Frequently asked questions

What clients usually engage your Financial & Operational Modeling Consultants?

We work with clients from all over the world. Our clients range from enterprise and corporate clients to companies that are backed by Private Equity or Venture Capital funds. Furthermore, we work directly with Family Offices, Private Equity firms, and Asset Managers. Most of our enterprise clients have dedicated Corporate Development, M&A, and Strategy divisions which are utilizing our pool of Financial & Operational Modeling talent to add on-demand and flexible resources, expertise, or staff to their in-house team.

How is Fintalent different?

Fintalent is not a staffing agency. We are a community of best-in-class Financial & Operational Modeling professionals, highly specialized within their domains. We have streamlined the process of engaging the best Financial & Operational Modeling talent and are able to provide clients with Financial & Operational Modeling professionals within 48 hours of first engaging them. We believe that our platform provides more value for Corporates, Ventures, Private Equity and Venture Capital firms, and Family Offices.

Our Hiring Process – What do ‘Community-Approach’ and ‘Invite-to-Apply’ mean?

‘Invite-to-Apply’ is the process by which we shortlist candidates for the majority of projects on our platform. Often, due to the confidential nature of our clients’ projects, we do not release projects to our whole platform but using the matching technology and expertise of our internal team we select candidates who are the best fit for our clients’ needs. This approach also ensures engagement with our community of professionals on the Fintalent platform, and is a benefit both to our clients and independent professionals, as our freelancers have direct access to the roles best suited to their skills and are more likely to take an interest in a project if they have been sought out directly. In addition, if a member of our community is unavailable for a project but knows someone whose skill set perfectly fits the brief, they are able to invite them to apply for the role, utilizing the personal networks of each talent on our platform.

Which skills and expertise do your Fintalents have?

The Fintalents are hand-picked and vetted Financial & Operational Modeling professionals, speak over 55 languages, and have professional experience in all geographical markets. Our Financial & Operational Modeling consultants’ experience ranges from 3+ years as analysts at top investment banks and Strategy consultancies, to later career C-level executives. The average working experience is 6.9 years and 80% of all Fintalents range from 3-12 years into their careers.

Our Financial & Operational Modeling consultants have experience in leading firms as well as interfacing with clients and wider corporate structures and management. What makes our Financial & Operational Modeling talent pool stand out is the fact that they have technical backgrounds in over 2,900 industries.

How does the screening and onboarding of your Financial & Operational Modeling talent work?

Fintalent.io is an invite-only platform and we believe in the power of referrals and a closed-loop community. Members of our community are able to invite a small number of professionals onto the platform. In addition, our team actively scouts for the best talent who have experience in investment banking or have worked at a global top management consultancy. All of our community-referred talent and scouted talent are subject to a rigorous screening process. As such, over the last 18 months totaling more than 750 hours of onboarding calls, of which only 40% have received an invite-link after the call.

What happens if I am not satisfied with my Financial & Operational Modeling consultant’s work?

During your initial engagement with a member of our Fintalent talent pool with no risk. If you are not satisfied with the quality of your hire for any reason then we are able to find a replacement at short notice. There is no minimum commitment per project, but generally projects last at least 5 days and can last 12+ months.

Everything you need to know about Financial & Operational Modeling

Firms often engage Financial & operational modeling consultants for several reasons, such as to better understand their own operations, as well as provide more accurate projections about future business endeavors. Modeling is a way to explore different possibilities for the organization. We explore both Financial & Operational Modeling below.

What is Operational modeling?

Operational modeling is a process that involves the translation of an organization’s activities into mathematical form in order to simulate them over time. While the most common process for achieving this is with linear programming techniques, other techniques include stochastic modeling and game theory. Operational modeling has been used extensively in fields such as military logistics, airport management, and finance, but it can be applied to any industry which relies heavily on a system of production.

Simple linear programming models, sometimes called logistical models, are often used for operations such as scheduling the delivery of goods. In this context, a firm can be thought of as a “central planner” that decides how many planes to dispatch in order to deliver goods from one location to another. Linear programming is most appropriate when the number of planes and destinations is limited.

Stochastic modeling is a mathematical technique for modeling events that may be random, or whose probability of occurring can’t be accurately predicted. For example, this technique could be used to model demand for a product where the sales volume depends on factors like competing products or economic conditions.

Game theory uses the mathematical formalism of probability theory to explore strategic situations. For example, a business may use game theory to analyze the data in a demand curve for their product, where one curve can be used for each specific customer. In this way, a firm could better understand how much it costs to supply a product and whether there is profit in doing so.

The limitations of these techniques are that the process by which they are used can easily become too complicated, thereby being unable to represent real-world problems. In order to achieve greater accuracy and precision in models, Fintalent’s financial & operational modeling experts employ more complex techniques such as Simpler Product Demand Models (SPDM).

In order for a firm to effectively use operational modeling, it is important that the modelers have the correct data and knowledge about how the firm operates. For example, if a firm is interested in improving its planning process, it is necessary to have accurate information on things such as production rate and capacity. In addition, it may be necessary to use data that has been collected from previous years in order to develop a repeatable process.

Financial Modeling

A firm “makes” money in three ways:
1) Selling products or services
2) Investing
3) Making money by borrowing. We look at these in the models that follow.
Also, the goal of financial modeling is to find out how we can make money by investing (or upgrading), and not by borrowing, because this is how all kinds of companies lose money. If firms were able to make more than their cost of capital in interest and dividends, then they would be able to have a lot of investment. This would mean that they could get more productive, deliver better customer service, build new plants, hire new people etc. If we are able to raise more capital (usually through borrowing) to invest in business operations, then we can grow.

One way to begin thinking about modeling firms is to ask yourself if you really understand what a company does and how it makes money. It might also be helpful to think about whether you have thought about your own job in this manner before.

Profits and losses can be thought of as the money that flows in or out of the firm. When you make a profit, you are spending less than you took in from revenue. If you spend more than you take in from revenue, then your profits are negative. For example: if sales revenue were $100 and the cost of goods sold is $100, this means that there was a profit of $100 or a loss of $100. You can find out about costs by using standard costing methods.

If you want to know whether you can afford to make any investment, then you need to know the return on assets (ROA) and the return on equity (ROE). ROA looks at the profit as a percentage of assets. ROE looks at the profit as a percentage of equity. The figures below show how we can use Excel models to show what happens with different types of strategies. The models are not intended to predict the future, but they will provide insights into what might happen under various circumstances.

Factors that Affect the Accuracy of Financial and Operational models

a) Limited or no historical data on past activities. If there is little or no historical data available on operations which may affect future projections, then those projections will likely be inaccurate.

b) Volume of activity. The volume of the activity determines the amount of dat to be processed and the likelihood of errors being encountered.

c) Production time. The amount of time it takes to complete production can vary with changes in the volume of activity, which may have a significant impact on project cost and objectives. For example, if an extra hour is added each day to a given project due to increased volume, then that cumulative effect will need to be accounted for in the model. Projections about when a product will be finished must also take into account vacations and holidays, where the effects are likely multiplied by the number of people involved in that given task.

d) Complexity and interaction among processes. For example, a project manager may need to know the production rate and capacity of several different departments in order to assess the most efficient way of scheduling delivery.

Another consideration is whether a firm can use modeling to improve performance. A firm could choose to invest in modeling in an attempt to gain a competitive advantage by improving its ability to predict demand patterns, thereby allowing it more flexibility in planning for future activities. By understanding how much an activity will cost, where the dollar value will be spent and where it can be spared is crucial information for a manager, as well as his or her decision making process regarding capital and resources allocation. Furthermore, operational models can also provide strategic insight by helping managers plan and evaluate similar projects at other companies.

While operational modeling has many benefits, it can also produce inaccurate results if data is not used accurately. Inaccurate data is often the result of subjective estimates or assumptions that may be incorrect. For example, a cost estimating model may make an estimate based on a simple linear regression formula without taking into account the effect of other factors that are not measurable, such as scale changes in production processes.

When errors occur in an operational model due to poor data, the consequences can be costly and unpredictable. For example, if the level of sales by an accounting department is underestimated and actual results are multiplied by 2.5, then there will be a $250,000 shortfall in revenue for that department. While a sudden drop in revenue may not directly impact the firm, it could cause other departments to start budgeting for smaller amounts of resources. The repercussions of a model error can be indirect, as well. For example, an inaccurate demand forecast for a product could lead to production delays, which have ripple effects that significantly impact the company’s goals.

As long as the amount of data is limited or nonexistent, there will always be some error associated with any calculation used to model a process because there are always factors that cannot be accounted for by simple mathematical formulas or computer algorithms.

The value of forecasting is dependent on the accuracy of the result. A company that is able to produce accurate predictions can plan with greater precision and certainty, thereby allowing it to focus more on evaluating and adapting to changes in demand patterns.

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Hire the best Financial & Operational Modeling specialists in 2,900+ industries

Fintalent is the invite-only community for top-tier M&A consultants and Strategy talent. Hire global Financial & Operational Modeling consultants with extensive experience in over 2,900 industries. Our platform allows you to build your team of independent Financial & Operational Modeling specialists in 48 hours. Welcome to the future of Mergers & Acquisitions!